Equivalence of regression calibration methods in main study/external validation study designs

DOI10.1016/S0378-3758(01)00320-2zbMath1014.62085MaRDI QIDQ1873089

Sally W. Thurston, Donna Spiegelman, David Ruppert

Publication date: 19 May 2003

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

exponential familyerrors in variablesdelta methodestimating equationsmeasurement errorssandwich estimator

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Generalized linear models (logistic models) (62J12)

Related Items (9)

Regression calibration for logistic regression with multiple surrogates for one exposure ⋮ A pseudo-penalized quasi-likelihood approach to the spatial misalignment problem with non-normal data ⋮ Regression calibration with instrumental variables for longitudinal models with interaction terms, and application to air pollution studies ⋮ Regression calibration in air pollution epidemiology with exposure estimated by spatio‐temporal modeling ⋮ Semiparametric methods for survival data with measurement error under additive hazards cure rate models ⋮ Approximate and pseudo-likelihood analysis for logistic regression using external validation data to model log exposure ⋮ Measurement error caused by spatial misalignment in environmental epidemiology ⋮ A study of regression calibration in a partially observed stratified Cox model ⋮ A comparison of regression calibration approaches for designs with internal validation data

Uses Software

• BLINPLUS
• relibpls8

Cites Work

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